The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
TransmiR v2.0: an updated transcription factor-microRNA regulation database
Open accessAbstract
MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression and play vital roles in various biological processes. It has been reported that aberrant regulation of miRNAs was associated with the development and progression of various diseases, but the underlying mechanisms are not fully deciphered. Here, we described our updated TransmiR v2.0 database for more comprehensive information about transcription factor (TF)-miRNA regulations. 3730 TF-miRNA regulations among 19 species from 1349 reports were manually curated by surveying >8000 publications, and more than 1.7 million tissue-specific TF-miRNA regulations were further incorporated based on ChIP-seq data. Besides, we constructed a 'Predict' module to query the predicted TF-miRNA regulations in human based on binding motifs of TFs. To facilitate the community, we provided a 'Network' module to visualize TF-miRNA regulations for each TF and miRNA, or for a specific disease. An 'Enrichment analysis' module was also included to predict TFs that are likely to regulate a miRNA list of interest. In conclusion, with improved data coverage and webserver functionalities, TransmiR v2.0 would be a useful resource for investigating the regulation of miRNAs. TransmiR v2.0 is freely accessible at http://www.cuilab.cn/transmir.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“According to analysis by TransmiR32, there is a single ATF1 binding site located in the promoter region of miR-27b-3p.”
From ATF1 and miR-27b-3p drive intervertebral disc degeneration through the PPARG/NF-κB signaling axis (2025) · cites this paper as [32]
Experimental — accuracy not yet measuredIn the citing paper
“Most of these miRNAs are clustered at Chr14q32 displaying CREB1, CEBPB, and MAZ transcription factor binding sites.”
From Validation of differentially expressed brain‐enriched microRNAs in the plasma of PD patients (2020) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Oncomirs—MicroRNAs with a role in cancer
Esquela-Kerscher, A., & Slack, F. J. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1840 · Cited by 5,884
The nuclear RNase III Drosha initiates microRNA processing
Lee, Y., Ahn, C., Han, J., Choi, H., Kim, J., Yim, J., Lee, J., Provost, P., Rådmark, O., Kim, S., et al. (2003) · Nature · doi:10.1038/nature01957 · Cited by 5,299
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741 · cited 1×
“In recent years, abundant evidence has shown that the deregulation of specific miRNA is associated with various diseases like cancers (2,4), cardiovascular diseases (5,6), and psychiatric disorders (7,8).”
BackgroundGREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502
A pathology atlas of the human cancer transcriptome
Uhlen, M., Zhang, C., Lee, S., Sjöstedt, E., Fagerberg, L., Bidkhori, G., Benfeitas, R., Arif, M., Liu, Z., Edfors, F., et al. (2017) · Science · doi:10.1126/science.aan2507 · Cited by 3,371
Piñero, J., Bravo, À., Queralt-Rosinach, N., Gutiérrez-Sacristán, A., Deu-Pons, J., Centeno, E., García-García, J., Sanz, F., & Furlong, L. I. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw943 · Cited by 2,680
A promoter-level mammalian expression atlas
The FANTOM Consortium and the RIKEN PMI and CLST (DGT) (2014) · Nature · doi:10.1038/nature13182 · Cited by 1,982
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 359
Potemkin, N., Cawood, S. M. F., Guévremont, D., Mockett, B. G., Treece, J. M., Stanton, J. L., & Williams, J. M. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04878-6 · Cited by 4
Singh, A., Gupta, R., & Kulshreshtha, R. (2025) · IUBMB Life · doi:10.1002/iub.70081 · Cited by 4
Huang, T., Ding, J., Li, L., Han, L., Yu, L., & Li, M. (2023) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2811293 · Cited by 4
Differential Expression of miR-26b-5p, EGR1, and STAT1 in Peripheral Blood of Schizophrenia Patients
Liu, Y., Qin, F., Yu, L., Zhao, X., Long, Q., Ma, X., You, X., Zhang, Y., Chen, Y., & Zeng, Y. (2024) · Psychiatry and Clinical Psychopharmacology · doi:10.5152/pcp.2024.24882 · Cited by 4
Huo, Q., Ma, Y., Yin, Y., & Qin, G. (2020) · Current Bioinformatics · doi:10.2174/1574893615666200317115609 · Cited by 4
Transcriptome analysis of arterial and venous circulating miRNAs during hypertension
Jin, L., Li, M., Wang, H., Yin, Z., Chen, L., Zhou, Y., Han, Y., Cui, Q., Zhou, Y., & Xue, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-82979-7 · Cited by 5
Self-citationRandhawa, V., & Kumar, M. (2021) · Molecular Omics · doi:10.1039/d1mo00199j · Cited by 5
miR-1322 protects against the myocardial ischemia via LRP8/PI3K/AKT pathway
Wei, J., & Cui, J. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.10.101 · Cited by 4
Cbl-b inhibited CD4+ T cell activation by regulating the expression of miR-99a/miR-125b
Wu, M., Gao, X., Tang, Y., Wu, W., Zhou, J., Shao, Y., Hao, C., Yang, Y., & Zhang, J. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2022.109677 · Cited by 4
Saberi, F., Dehghan, Z., Noori, E., & Zali, H. (2023) · ̒Ulūm va funūn-i bastah/bandī · doi:10.61186/ibj.3871 · Cited by 4
Nie, J., Gong, L., Zhu, L., Ou, D., Zhang, L., Liu, Y., Zhang, J., & Liu, D. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/5851269 · Cited by 4
RetractedRavanidis, S., Bougea, A. M., Papagiannakis, N., Koros, C., Simitsi, A., Pachi, I., Breza, M., Stefanis, L., & Doxakis, E. (2020) · doi:10.21203/rs.3.rs-33785/v1 · Cited by 4
Ammirata, G., Arigoni, M., Licastro, D., Caviglia, G. P., Disabato, M., Zubair, G., Bezzio, C., Saibeni, S., Nicolò, A. D., Cusato, J., et al. (2024) · Antioxidants · doi:10.3390/antiox13091047 · Cited by 3
CD44 knockdown alters miRNA expression and their target genes in colon cancer
Maltseva, D. V., Zhiyanov, A., Lange, T., & Tonevitsky, A. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1552665 · Cited by 3
Cai, X., Zuo, H., Li, J., Huang, H., Li, L., Ni, J., Wu, P., Xu, X., Zhang, D., Xie, Y., et al. (2025) · Pharmaceuticals · doi:10.3390/ph18101553 · Cited by 3
Liu, T., Jia, J., Wang, L., Yin, Z., & Liu, Y. (2022) · Immunobiology · doi:10.1016/j.imbio.2022.152285 · Cited by 3
Saranya, I., Preetha, D., Nivruthi, S., & Selvamurugan, N. (2024) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2024.108208 · Cited by 3
Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia
Wang, L., & Zhang, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910773 · Cited by 3
Wang, C., Wu, M., Wang, Z., Wu, X., Yuan, H., Jiang, S., Li, G., Lan, R., Wang, Q., Zhang, G., et al. (2024) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-024-01510-4 · Cited by 3
Fahma, A., Subair, S., Ramakrishnan, K., Ravi, V., Raju, R., & Rehman, N. (2025) · Current Microbiology · doi:10.1007/s00284-025-04336-5 · Cited by 3
How miRNA Structure of Animals Influences Their Biogenesis
Vorozheykin, P. S., & Titov, I. I. (2020) · Russian Journal of Genetics · doi:10.1134/s1022795420010135 · Cited by 3
A Comprehensive Genomic Analysis Constructs miRNA–mRNA Interaction Network in Hepatoblastoma
Chen, T., Tian, L., Chen, J., Zhao, X., Zhou, J., Guo, T., Sheng, Q., Zhu, L., Liu, J., & Lv, Z. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.655703 · Cited by 3
Liang, M., Zhang, Y., Gan, S., Liu, Y., Li, H., Liu, Q., Liu, H., Zhou, Z., Wu, H., Chen, G., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.746757 · Cited by 3
Giovannetti, A., Bianco, S. D., Traversa, A., Panzironi, N., Bruselles, A., Lazzari, S., Liorni, N., Tartaglia, M., Carella, M., Pizzuti, A., et al. (2022) · Human Mutation · doi:10.1002/humu.24399 · Cited by 3
Control of focal adhesion kinase activation by RUNX1-regulated miRNAs in high-risk AML
Akhade, V. S., Liu, T., Docking, R., Jiang, J., Gopal, A., & Karsan, A. (2023) · Leukemia · doi:10.1038/s41375-023-01841-z · Cited by 3
Maria, N. I., Rapicavoli, R. V., Alaimo, S., Bischof, E. Y., Stasuzzo, A., Broek, J. A. C., Pulvirenti, A., Mishra, B., Duits, A. J., & Ferro, A. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e14115 · Cited by 6
The intracellular parasite Anncaliia algerae induces a massive miRNA down-regulation in human cells
Akossi, R. F., Delbac, F., Alaoui, H. E., Wawrzyniak, I., & Peyretaillade, É. (2023) · Non-coding RNA Research · doi:10.1016/j.ncrna.2023.05.003 · Cited by 3
Panni, S., Corbelli, A., & Sztuba-Solińska, J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90406-3.00009-9 · Cited by 3
Han, Y., Zhou, Q., Liu, L., Li, J., & Zhou, Y. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05644-6 · Cited by 3
Self-citationA SRC-slug-TGFβ2 signaling axis drives poor outcomes in triple-negative breast cancers
Angel, C. Z., Beattie, S., Hanif, E. A. M., Ryan, M. P., Liberal, F. D. C. G., Zhang, S., Monteith, S., Buckley, N. E., Parker, E., Haynes, S., et al. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01793-6 · Cited by 3
Luo, J., Huang, R., Xiao, P., Xu, A., Dong, Z., Zhang, L., Wu, R., Qiu, Y., Zhu, L., Zhang, R., et al. (2023) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-023-02947-0 · Cited by 3
Peripheral blood miRNAs are associated with airflow below threshold in children with asthma
Tiwari, A., Hobbs, B. D., Sharma, R., Li, J., Kho, A. T., Amr, S. S., Celedon, J. C., Weiss, S. T., Hersh, C. P., Tantisira, K. G., et al. (2025) · Respiratory Research · doi:10.1186/s12931-025-03116-w · Cited by 2
Perona, M., Grissi, C., Rosemblit, C., Salvarredi, L. A., Nicola, J. P., Thomasz, L., Dagrosa, M. A., Cremaschi, G., Durán, H., Juvenal, G. J., et al. (2025) · Archives of Medical Research · doi:10.1016/j.arcmed.2025.103227 · Cited by 2
Role of Compensatory miRNA Networks in Cognitive Recovery from Heart Failure
Gisa, V., Islam, R., Lbik, D., Hofmann, R. M., Centeno, T. P., Krüger, D. M., Burkhardt, S., Schütz, A., Sananbenesi, F., Toischer, K., et al. (2025) · Non-Coding RNA · doi:10.3390/ncrna11030045 · Cited by 2
Mandal, A. K., & Chakraborty, S. K. (2025) · Journal of Drug Delivery and Therapeutics · doi:10.22270/jddt.v15i8.7336 · Cited by 2
Jian, D., Chen, J., Yuan, J., Namrata, K., Su, D., & Bai, B. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s527507 · Cited by 2
Identification of the IL-1β/miRNA-326 axis as a key regulator of ferroptosis in spinal cord injury
Xu, S., Jiang, Y., Gui, Y., Chen, J., Pan, Q., Jiang, M., & Xu, J. (2026) · BMC Neuroscience · doi:10.1186/s12868-026-01001-w · Cited by 2
Wang, J., Liu, Y., Zhang, Y., Liu, B., & Wei, Z. (2022) · BioMed Research International · doi:10.1155/2022/6042591 · Cited by 2
Self-citationHan, Y., & Zhou, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137324 · Cited by 3
Self-citationComputational Methods for Identifying MicroRNA-Gene Regulatory Modules
Liu, Y. (2022) · Springer handbooks of computational statistics · doi:10.1007/978-3-662-65902-1_10 · Cited by 2
Xu, W., Yu, H., Chen, D., Pan, W., Yang, W., Miao, J., Jia, W., Zheng, B., Liu, Y., Chen, X., et al. (2023) · World Journal of Pediatric Surgery · doi:10.1136/wjps-2022-000547 · Cited by 2
Li, R., Zhao, C., Wang, R., Wang, J., Jin, Y., He, S., & Bo, X. (2024) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1830 · Cited by 2
Self-citationLi, J., Xu, Y., Jiao, H., Chen, J., Lin, Y., Zhou, M., Jin, F.-C., Xu, Q., & Zhang, Z. (2025) · Oncology and Translational Medicine · doi:10.1097/ot9.0000000000000073 · Cited by 2
MicroRNA databases and bioinformatics analysis
Ražná, K., Harenčár, Ľ., Čerteková, S., & Kučka, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-21682-4.00002-6 · Cited by 3
Hosseinpouri, A., Sadegh, K., Zarei‐Behjani, Z., Dehghan, Z., & Karbalaei, R. (2025) · Neurogenetics · doi:10.1007/s10048-025-00806-x · Cited by 2
The Abnormal ERα-miRNA Cross-Talk in AD-Affected Human Hippocampus: A Bioinformatics Perspective
Liu, F., & Li, K. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04771-2 · Cited by 2
Hosseinpour-Soleimani, F., Tajbakhsh, A., Salmasi, Z., Pirsalehi, M.-T., & Irajie, C. (2025) · Clinical & Experimental Metastasis · doi:10.1007/s10585-025-10364-z · Cited by 2
Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network
Liu, X., Xu, X., Xu, X., Li, X., & Xie, G. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669359 · Cited by 2
Turning data to knowledge: online tools, databases, and resources in microRNA research
Blass, I., Zohar, K., & Michal Linial, B. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89774-7.00025-x · Cited by 2
NF‐κB1 promotes miR‐27a‐5p upregulation in acrylamide‐induced toxicity in rats
Zhang, L., Yang, L., Gao, J., Li, D., Luo, Y., & Chen, F. (2024) · Food Frontiers · doi:10.1002/fft2.336 · Cited by 2
Interpreting and integrating big data in non-coding RNA research
Cantarella, S., Nisio, E. D., Carnevali, D., Dieci, G., & Montanini, B. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20190004 · Cited by 3
Changes in neurodegeneration-related miRNAs in brains from CAPN1−/− mice
Su, W., Bi, X., Wang, Y., & Baudry, M. (2021) · BBA Advances · doi:10.1016/j.bbadva.2021.100004 · Cited by 2
Computational Systems Biology Sheds Insights on to Metabolic Syndrome and its Component Disorders
(2020) · Biointerface Research in Applied Chemistry · doi:10.33263/briac113.99049914 · Cited by 2
Erratum to: How Animal miRNAs Structure Influences Their Biogenesis
Vorozheykin, P. S., & Titov, I. I. (2020) · Russian Journal of Genetics · doi:10.1134/s1022795420220019 · Cited by 2
Maria, N. I., Rapicavoli, R. V., Alaimo, S., Bischof, E. Y., Stasuzzo, A., Broek, J. A. C., Pulvirenti, A., Mishra, B., Duits, A. J., & Ferro, A. (2021) · Research Square · doi:10.21203/rs.3.rs-287183/v1 · Cited by 2
The influence of Sex on microRNA expression in Human Skeletal MusclePreprint
Hiam, D., Landen, S., Jacques, M., Voisin, S. A. C., Lamon, S., & Eynon, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.27.530361 · Cited by 2
Freiesleben, S., Unverricht-Yeboah, M., Gütebier, L., Waltemath, D., Kriehuber, R., & Olaf Wolkenhauer, A. (2022) · Frontiers in Systems Biology · doi:10.3389/fsysb.2022.928159 · Cited by 1
Overview of Computational and Experimental Methods to Identify Tissue-Specific MicroRNA Targets
Schmitz, U. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2982-6_12 · Cited by 1
Akçay, S., & Pirim, D. (2023) · Brazilian Archives of Biology and Technology · doi:10.1590/1678-4324-2023220722 · Cited by 1
Wei, X., Weng, Z., Xu, X., & Yao, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0311130 · Cited by 2
Campos-Parra, A. D., Sánchez-Marín, D., & Acevedo-Sánchez, V. (2025) · Pharmaceuticals · doi:10.3390/ph18040492 · Cited by 1
Wu, S., Yao, C., Fang, L., Sun, Y., Zhao, M., Chen, J., Hu, G., Zhao, Z., Ding, S., Xue, J., et al. (2025) · Research · doi:10.34133/research.0998 · Cited by 1
Nurdinov, N. S., Güler, A., Albayrak, S., Kurşunluoğlu, G., Ulutabanca, H., Çınar, V., Memiş, M., Erdem, Ş., Aydın, O., Şener, E. F., et al. (2026) · Cancer Cell International · doi:10.1186/s12935-026-04238-x · Cited by 1
Zhang, Y., He, L., Pan, L.-X., Feng, C., Wang, X., Tao, Y., Li, T., Wang, Q., & Ullah, H. (2023) · BioMed Research International · doi:10.1155/2023/6517963 · Cited by 1
Wang, R., & Yang, Y. (2023) · World Journal of Cardiology · doi:10.4330/wjc.v15.i6.293 · Cited by 1
Liu, M., Li, H., Huo, Z., Chen, H., Kang, X., & Xu, B. (2023) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-023-04699-0 · Cited by 1
Myc-regulated miRNAs modulate p53 expression and impact animal survival under nutrient deprivation
Gervé, M. P., Sánchez, J. A., Ingaramo, M. C., & Dekanty, A. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010721 · Cited by 1
miR-564 and miR-718 expressions are downregulated in colorectal cancer tissues
Mıhçıoğlu, D., Elihan, E., Aytekin, A., & Gurer, T. (2023) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2023-0015 · Cited by 1
Roy, D., Kundu, S., & Mukherjee, S. (2023) · Current Alzheimer Research · doi:10.2174/0115672050261526231013095933 · Cited by 1
Dehghan, Z., Mirmotalebisohi, S. A., Mozafar, M., Sameni, M., Saberi, F., Derakhshanfar, A., Moaedi, J., Zohrevand, H., & Zali, H. (2024) · DARU Journal of Pharmaceutical Sciences · doi:10.1007/s40199-024-00507-0 · Cited by 1
Gravina, T., Favero, F., Rosano, S., Parab, S., Alcalde, A. D., Bussolino, F., Doronzo, G., & Corà, D. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137123 · Cited by 1
The Potential Role of Egg‐Derived Xeno‐ miRs in Chemotherapy Response: An In Silico Approach
Doğan, B. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70332 · Cited by 1
Xu, J., Luxu, S., Huang, H., Lin, Y.-C.-D., & Huang, H.-D. (2025) · Biomolecules · doi:10.3390/biom15121707 · Cited by 1
Monga, I., Randhawa, V., & Dhanda, S. K. (2022) · Springer eBooks · doi:10.1007/978-981-16-5993-5_6 · Cited by 1
Turning Data to Knowledge: Online Tools, Databases, and Resources in microRNA Research
Blass, I., Zohar, K., & Michal Linial, B. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-08356-3_5 · Cited by 1
Somatic mutation effects diffused over microRNA dysregulation
Yu, H., Jiang, L., Li, C.-I., Ness, S. A., Piccirillo, S. G. M., & Guo, Y. P. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad520 · Cited by 1
Dey, A., Sen, S., & Maulik, U. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/806489 · Cited by 1
Guo, Z.-H., You, Z., Wang, Y., & Yi, H.-C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/849760 · Cited by 1
Complex networks of miRNA-transcription factors mediate gene dosage compensation in aneuploid cancerPreprint
Acón, M., Oviedo, G., Baéz, E., Vásquez-Vargas, G., Guevara-Coto, J. A., Segura-Castillo, A., Siles-Canales, F., Quirós-Barrantes, S., Mendes, P., & Mora-Rodríguez, R. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.31.928507 · Cited by 1
Aghajanzadeh, T., Talkhabi, M., Zali, M. R., Hatami, B., & Baghaei, K. (2022) · Research Square · doi:10.21203/rs.3.rs-1679515/v1 · Cited by 1
Zhang, Y., Ma, C., Ding, R., Chen, H., Xu, L., & Yu, C. (2023) · medRxiv · doi:10.1101/2023.06.29.23291976 · Cited by 1
Chen, G., Li, Y., Ma, Y., & Tan, X. (2020) · doi:10.22541/au.158353863.33858930
Interrelation between miRNA and mRNA expression in HT-29 line cells under hypoxia
Nersisyan, S. A., Galatenko, A., Maltseva, D. V., Ushkaryov, Y. A., & Tonevitsky, A. (2020) · Bulletin of Russian State Medical University · doi:10.24075/brsmu.2020.074
Vzaimosvyaz' izmeneniya ekspressii mikroRNK i mRNK v kletkakh linii nt-29 v usloviyakh gipoksii
Nersisyan, S. A., Галатенко, А. В., Мальцева, Д. В., Ushkaryov, Y. A., & Тоневицкий, А. Г. (2020) · Вестник Российского государственного медицинского университета · doi:10.24075/vrgmu.2020.074
Gupta, A., Sugadev, R., Sharma, Y. K., & Khurana, P. (2021) · Research Square · doi:10.21203/rs.3.rs-258156/v1
The Synaptic RNAome - identification, interactions and intercellular transfer
Epple, R. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8506
Wang, J., Liu, Y., Zhang, Y., Liu, B., & Wei, Z. (2021) · Research Square · doi:10.21203/rs.3.rs-864617/v1
Self-citationШмакова, А. А., Рысенкова, К. Д., Ивашкина, О. И., Груздева, А. М., Климович, П. С., Попов, В. С., Рубина, К. А., Анохин, К. В., Tkachuk, V., & Семина, Е. В. (2021) · Биохимия · doi:10.31857/s0320972521100080
Wu, K., Peng, R., Zhang, Z., Liu, H., & Sun, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-824447/v1
Age-Associated Induction of Senescent Transcriptional Programs in Human Glial Progenitor CellsPreprint
Mariani, J. N., Madsen, P. M., Mansky, B., Huynh, N. P. T., Kuypers, N. J., Kesel, E. R., Chandler-Militello, D., Benraiss, A., & Goldman, S. A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3950750
Zhang, J., Lu, Y. W., Mao, Y., Yu, Y., Wu, T., Zhao, W., Zhu, Y., Zhao, P., & Zhang, F. (2021) · Research Square · doi:10.21203/rs.3.rs-1044001/v1
Khurana, P., Varshney, R. K., Sugadev, R., & Sharma, Y. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.16.097865
Identification of hub genes and networks in cisplatin-induced acute kidney injuryPreprint
Yang, L., Xu, J.-W., Liu, X., Cheng, Y., Zhou, H., & Zhao, L. (2021) · Research Square · doi:10.21203/rs.3.rs-1069475/v1
A Systems Approach To Parental Functioning And Family Adjustment
Gemeinhardt, M. (1990) · Scholarship@Western (Western University)
Sciacca, E., Surace, A. E. A., Alaimo, S., Pulvirenti, A., Rivellese, F., Goldmann, K., Ferro, A., Latora, V., Pitzalis, C., & Lewis, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.08.471133
The transcriptomic data of about 5,000 breast tumors reveals novel biomarkersPreprint
Rahmati, Y., Davarinejad, O., Mohammadi, P., Shirmohamadi, M., Ghavi, D., Golmohammadi, F., Foruzandeh, Z., & Alivand, M. R. (2022) · Research Square · doi:10.21203/rs.3.rs-1341148/v1
Davarinejad, O., Mohammadi, P., Ghavi, D., Golmohammadi, F., Foruzandeh, Z., Alivand, M. R., & Rahmati, Y. (2022) · Research Square · doi:10.21203/rs.3.rs-1551331/v1
Zhao, Y., Liu, Y., Zhong, L., Ji, J., & Yi, H. (2022) · Research Square · doi:10.21203/rs.3.rs-1550832/v1
Wang, J., Liu, Y., Zhang, Y., Liu, B., & Wei, Z. (2022) · Research Square · doi:10.21203/rs.3.rs-864617/v3
Self-citationJiang, Y., Lyu, T., Liu, H., Shen, L., Shi, Y., Zhou, T., & Feng, W. (2020) · Research Square · doi:10.21203/rs.3.rs-51079/v1
Metadata
- Authors
- Tong, Z., Cui, Q., Wang, J., & Zhou, Y.
- Affiliations
- Peking University (CN)
- Corresponding author
- Wang, Juan
- Zhou, Yuan
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-29
- Volume
- 47
- Issue
- D1
- Pages
- D253-D258
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC6323981
- OpenAlex
- W2899510892
- Cited by
- 356
- References
- 49
- Citations by year
- 2026: 17 · 2025: 37 · 2024: 56 · 2023: 52 · 2022: 60 · 2021: 66 · 2020: 49 · 2019: 18
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81473236)
- Special Project on Precision Medicine under the National Key R&D Program (2016YFC0903000)
- Fundamental Research Funds for Central Universities of China (BMU2017YJ004)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA regulation, transcription factors, post-transcriptional regulation, tissue-specific gene regulation, ChIP-seq, enrichment analysis
- MeSH terms
- Gene Expression Regulation, Humans, Software, Software Design, Transcription Factors, User-Computer Interface, Computational Biology, Genomics, Databases, Genetic, MicroRNAs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
